覆盖Left_Join dplyr以更新数据 [英] Overwrite left_join dplyr to update data
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问题描述
我的问题类似于这个问题,但我在LHS中有额外的列应该保留https://stackoverflow.com/a/35642948/9285732
y
是x
的子集,val1的值已更新。在x
中,我希望覆盖相关值,但保留其余值。
样本数据:
library(tidyverse)
x <- tibble(name = c("hans", "dieter", "bohlen", "hans", "dieter", "alf"),
location = c(1,1,1,2,2,3),
val1 = 1:6, val2 = 1:6, val3 = 1:6)
y <- tibble(name = c("hans", "dieter", "hans"),
location = c(2,2,1),
val1 = 10)
> x
# A tibble: 6 x 5
name location val1 val2 val3
<chr> <dbl> <int> <int> <int>
1 hans 1 1 1 1
2 dieter 1 2 2 2
3 bohlen 1 3 3 3
4 hans 2 4 4 4
5 dieter 2 5 5 5
6 alf 3 6 6 6
> y
# A tibble: 3 x 3
name location val1
<chr> <dbl> <dbl>
1 hans 2 10
2 dieter 2 10
3 hans 1 10
> # desired output
> out
# A tibble: 6 x 5
name location val1 val2 val3
<chr> <dbl> <dbl> <int> <int>
1 hans 1 10 1 1
2 dieter 1 2 2 2
3 bohlen 1 3 3 3
4 hans 2 10 4 4
5 dieter 2 10 5 5
6 alf 3 6 6 6
我编写了一个函数,它可以做我想做的事情,但它相当笨重。我想知道是否有更优雅的方式,甚至是我不知道的dplyr函数。
overwrite_join <- function(x, y, by = NULL){
bycols <- which(colnames(x) %in% by)
commoncols <- which(colnames(x) %in% colnames(y))
extracols <- which(!(colnames(x) %in% colnames(y)))
x1 <- anti_join(x, y, by = by) %>%
bind_rows(y) %>%
select(commoncols) %>%
left_join(x %>% select(bycols, extracols), by = by)
out <- x %>% select(by) %>%
left_join(x1, by = by)
return(out)
}
overwrite_join(t1, t2, by = c("name", "location"))
推荐答案
您可以按照
> x %>%
left_join(y = y, by = c("name", "location")) %>%
within(., val1.x <- ifelse(!is.na(val1.y), val1.y, val1.x)) %>%
select(-val1.y)
# # A tibble: 6 x 5
# name location val1.x val2 val3
# <chr> <dbl> <dbl> <int> <int>
# 1 hans 1 10 1 1
# 2 dieter 1 2 2 2
# 3 bohlen 1 3 3 3
# 4 hans 2 10 4 4
# 5 dieter 2 10 5 5
# 6 alf 3 6 6 6
然后重命名val1.x。
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